This book offers a predominantly theoretical coverage of statistical
prediction, with some potential applications discussed, when data and/
or parameters belong to a large or infinite dimensional space. It
develops the theory of statistical prediction, non-parametric estimation
by adaptive projection - with applications to tests of fit and
prediction, and theory of linear processes in function spaces with
applications to prediction of continuous time processes.
This work is in the Wiley-Dunod Series co-published between Dunod
(www.dunod.com) and John Wiley and Sons, Ltd.